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Chief Artificial Intelligence Architect
3 weeks ago
We are seeking an accomplished Lead Machine Learning Engineer to spearhead the development and deployment of cutting-edge Computer Vision solutions in production environments.
Key Responsibilities:
- Develop and deploy high-performance ML/Computer Vision projects such as object detection, defect detection, facial recognition, and human activity analysis.
- Build robust data pipelines for image and video processing across edge and cloud environments.
- Design scalable real-time AI systems ensuring high accuracy and low latency.
- Guide and mentor junior ML engineers, promoting collaboration and technical excellence.
- Stay updated with the latest AI/ML research and integrate innovative models into existing workflows.
- Communicate effectively with stakeholders, translating technical concepts into actionable solutions.
Qualifications:
- 5+ years of experience in Machine Learning with proven expertise in Computer Vision projects deployed in production.
- Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow) and CV libraries (OpenCV).
- Solid knowledge of MLOps workflows, data pipelines, and scalable deployment strategies.
- Prior experience in leading ML teams and delivering projects end-to-end.
- Excellent communication skills and ability to manage cross-functional collaboration.
Benefits:
- Opportunity to work on cutting-edge Computer Vision projects.
- Collaborative team environment.
- Professional growth and development opportunities.
Others:
- Experience with vision-based automation in manufacturing is a plus.
- Exposure to Generative AI workflows and multi-modal AI pipelines is beneficial.
- Understanding of AI governance, compliance, and security protocols is highly valued.
